Python Developer - Flask, Dash & AI (LLM/RAG) - Banking Domain

Job Summary

We are looking for an experienced Python Developer with strong expertise in Flask, Plotly Dash, and AI technologies (LLM/RAG), along with solid exposure to the Banking domain. The candidate will be responsible for building scalable web applications, developing data-driven dashboards, and delivering AI-powered solutions for banking use cases such as risk analysis, customer insights, and process automation.

Key Responsibilities

• Develop and maintain scalable web applications using Python and Flask.
• Design and build RESTful APIs, handle routing, and manage HTTP requests.
• Create interactive dashboards and analytical tools using Plotly Dash.
• Work on banking-related data to deliver insights for areas like payments, risk, compliance, and customer analytics.
• Implement and integrate local Large Language Models (LLMs) using tools like Ollama.
• Design and implement Retrieval-Augmented Generation (RAG) solutions for intelligent data retrieval and automation.
• Collaborate with business stakeholders, data engineers, and AI teams to understand banking requirements and translate them into technical solutions.
• Ensure application performance, security, and compliance with banking standards.
• Write clean, maintainable, and well-documented code following best practices.

Required Skills & Qualifications

• Strong experience in Python development.
• Hands-on expertise with Flask (API development, routing, request handling).
• Experience in building dashboards using Plotly Dash.
• Proven experience working in the Banking or Financial Services domain.
• Understanding of banking systems such as payments, digital banking, or risk/compliance platforms.
• Familiarity with local LLM implementation using Ollama.
• Experience in implementing Retrieval-Augmented Generation architectures.
• Strong understanding of REST APIs, JSON, and system integration.
• Experience with version control tools like Git.

Good to Have

• Experience with core banking or digital banking platforms.
• Knowledge of regulatory and compliance requirements in banking.
• Experience with cloud platforms (AWS/Azure/GCP).
• Familiarity with containerization tools (Docker, Kubernetes).
• Exposure to frontend technologies (React/Angular).
• Knowledge of vector databases (e.g., FAISS, Pinecone).
• Experience in AI/ML or NLP-based solutions in banking use cases.

Good To Have

Banking Application Knowledge/Experience

Familiarity with Agentic AI and MCP

Experience using the Plotly Dash library to create interactive and data-driven web applications.

Familiarity with AS400/COBOL Programs and AS400 File Structures, Data Queues and other system components.